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1	Institut National de Recherche en Informatique et Automatique
	Université De Lorraine; École Doctorale Iaem Informatique; Ekaterina Lebedeva
	In: http://tel.archives-ouvertes.fr/docs/00/78/32/45/PDF/Thesis-submitted_version.pdf (2013)
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2	Statistical language models within the algebra of weighted rational languages
	Thomas Hanneforth; Kay-michael Würzner
	In: http://www.inf.u-szeged.hu/actacybernetica/edb/vol19n2/pdf/Hanneforth_2009_ActaCybernetica.pdf (2009)
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3	Recent Advances in Computational Linguistics
	Yulia Ledeneva; Santiago Tianguistenco; Grigori Sidorov
	In: http://www.informatica.si/PDF/34-1/01_Lendeva%20-%20Recent%20Advances%20in%20Computational%20Linguistics.pdf (2009)
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4	A.: Automatic Acquisition of Hungarian Subcategorization Frames
	András Serény; Eszter Simon; Anna Babarczy
	In: http://conf.uni-obuda.hu/cinti2008/40_cinti2008_submission.pdf (2008)
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5	A large-scale classification of English verbs
	Anna Korhonen; Neville Ryant; Martha Palmer
	In: http://verbs.colorado.edu/~kipper/Papers/lrec-journal.pdf (2008)
	Abstract: Abstract. Lexical classifications have proved useful in supporting various natural language processing (NLP) tasks. The largest verb classification for English is Levin’s (1993) work which defined groupings of verbs based on syntactic and semantic properties. VerbNet (Kipper et al., 2000; Kipper-Schuler, 2005) – the largest computational verb lexicon currently avail-able for English – provides detailed syntactic-semantic descriptions of Levin classes. While the classes included are extensive enough for some NLP use, they are not comprehensive. Korhonen and Briscoe (2004) have proposed a significant extension of Levin’s classification which incorporates 57 novel classes for verbs not covered (comprehensively) by Levin. Ko-rhonen and Ryant (2005) have recently supplemented this with another extension including 53 additional classes. This article describes the integration of these two extensions into VerbNet. The result is a comprehensive Levin-style classification for English verbs providing over 90% token coverage of the Proposition Bank data (Palmer et al., 2005) and thus can be highly useful for practical applications.
	Keyword: computational linguistics; lexical classification; lexical resources
	URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.473.4707 http://verbs.colorado.edu/~kipper/Papers/lrec-journal.pdf
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6	An Application of Operational Research to Computational Linguistics: Word Ambiguity
	Kevin Durda; Richard Caron; Lori Buchanan
	In: http://cronus.uwindsor.ca/users/r/rcaron/main.nsf/54ef3e94e5fe816e85256d6e0063d208/ad9c7dd99a2fddf7852571b0006fa85f/$FILE/Durda%20Caron%20Buchanan%20INFOR%20Submission%20Feb%2027%202008.pdf (2008)
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7	Development of a German-English Translator
	Felix Zhang
	In: http://www.tjhsst.edu/~rlatimer/techlab08/Book08/ZhangPaper2ColQ3-08.pdf (2008)
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8	Development of a German-English Translator
	Felix Zhang
	In: http://www.tjhsst.edu/~rlatimer/techlab08/ZhangPaperQ2-08.pdf (2008)
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9	Development of a German-English Translator
	Felix Zhang
	In: http://www.tjhsst.edu/~rlatimer/techlab08/ZhangPaperQ4-08.pdf (2008)
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10	Realization of natural language interfaces using lazy functional programming
	Richard A. Frost
	In: http://dmontanor.googlepages.com/realizationofnaturallanguageinterfac.pdf (2006)
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11	Realization of natural language interfaces using lazy functional programming
	Richard A. Frost
	In: http://cs.uwindsor.ca/~richard/PUBLICATIONS/NLI_LFP_SURVEY_DRAFT.pdf (2006)
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12	Thesis for the Degree of Doctor of Philosophy Language Engineering in Grammatical Framework (GF)
	Janna Khegai; C Janna Khegai; Ny Serie Nr
	In: http://www.cs.chalmers.se/~janna/Janna_Khegai_phd.pdf (2006)
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13	Realization of natural language interfaces using lazy functional programming
	Richard A. Frost
	In: http://cs.uwindsor.ca/richard/cs510/survey_frost.pdf (2006)
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14	Information is Power: Toward Intelligent Tools for Information Access and Evaluation
	Michael Gasser; Stephen Hockema; Matthew Kane
	In: http://www.cs.indiana.edu/l/www/ftp/gasser/wfis.pdf (2006)
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15	Automated Video Segmentation for Lecture Videos: A . . .
	Ming Lin
	In: http://www.business.hku.hk/~mchau/papers/AutomatedVideoSegmentation.pdf (2005)
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16	Deriving marketing intelligence from online discussion
	Natalie Glance; Matthew Siegler
	In: http://www.kamalnigam.com/papers/aw-kdd05.pdf (2005)
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17	Describing lambda terms in Context Unification
	Joachim Niehren; Mateu Villaret
	In: http://hal.inria.fr/docs/00/53/65/24/PDF/clls-cu.pdf (2005)
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18	B.: Tackling the internet glossary glut: Automatic extraction and evaluation of genus phrases
	Judith L. Klavans
	In: http://www.cs.columbia.edu/nlp/papers/2003/klavans_al_03.pdf (2003)
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19	Verbal Constraint Management for Shape Conceptualization
	Jouke Verlinden; Imre Horvath; György Kuczogi
	In: http://dutoce.io.tudelft.nl/~jouke/docdb/docs/tmce2002verlinden.pdf (2002)
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20	Finding Syntactic Structure in Unparsed Corpora : The Gsearch corpus query system, Computer and Humanities
	Martin Corley; Frank Keller; Matthew W. Crocker...
	In: http://www.coli.uni-saarland.de/%7Ecrocker/pubs/chum00.pdf (2001)
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